NMTSA – Learn: Hackathon Submission

Inspiration

Families and clinicians were juggling important resources across emails and Google Drive.
Healthcare professionals needed CE credits and practical training, but content was scattered and hard to track.
We wanted an autism‑friendly experience that reduces friction and lowers cognitive load.
NMTSA needed a system that creates new revenue streams while supporting the community.

Hosts structured courses (courses → modules → lessons) with video and blog content.
Dual authentication:
- OAuth (Auth0) for Students and Teachers
- Django Admin login for Admins (admins do not use OAuth)
Teacher onboarding + admin verification before publishing content.
Review → approve → publish workflow for course quality.
Student enrollments, video resume, progress tracking, and CE certificates (PDF).
PayPal payments for paid courses (sandbox/live).
Course discussions for community support.
AI chat assistant + semantic course search with Supermemory.
Accessibility-first UI with high contrast, no animations, and adjustable fonts.
Localization for English and Spanish; SEO + sitemap included.

Django multi-app project (authentication, teacher_dash, student_dash, admin_dash, lms).
Custom User model, RBAC decorators, and Auth0 OAuth flow with middleware syncing sessions → DB.
Course and lesson models (VideoLesson and BlogLesson) with media in media/.
Enrollment, CompletedLesson, and VideoProgress to track learning.
PayPal integration via service module and idempotent handling.
Certificates generated as PDFs with CE metadata.
Supermemory client for chat and semantic search; course data synced into memory.
Tailwind CSS with theme + font controls stored in localStorage (no animations).
Tests per app; seed command to demo courses; SEO sitemaps.

Designing dual-auth without mixing concerns (OAuth for users vs. Django admin for admins).
Keeping published courses safe: auto-unpublish and resubmit for review on any edit.
Ensuring accessibility (WCAG) while supporting video playback and transcripts.
Idempotent payment flows and reliable webhooks.
Building AI chat that’s helpful but also privacy‑aware and scoped to courses.

End-to-end RBAC with teacher verification and admin review pipeline.
Autism‑friendly UI that’s simple, predictable, and adjustable.
CE certificate generation tied to real completion logic.
Semantic search + chat that surface the right resources quickly.
Clear documentation (README + SRS + integration guides) to make this usable today.

Accessibility and “no distractions” makes learning smoother for everyone, not just some users.
Good guardrails (review workflow, verification) keep quality high and reduce admin support later.
Idempotency and clear state machines make payments and publishing reliable.
Small, reusable components (templates, decorators, services) speed up safe iteration.